Artificial Intelligence and the Preservation of Cultural Heritage and Oral Traditions: A Literary Study of Human Relationships in Khaled Hosseini’s Novels
Main Article Content
Abstract
Cultural heritage and oral tradition are important assets of human history. It includes folk tales,
songs, rituals, languages, manuscripts, monuments, clothes, myths, and legends that have been
passed from one generation to another through spoken words.Cultural heritage and oral
traditions are important properties of human history. They preserve human beings identify world
heritage preservation aims to protect these assets from Global threats, such as urbanisation,
climate change, conflict and neglect. And its represent to society to society & for future
generations. Oral traditions are complex knowledge systems encoding indigenous wisdom,
environmental understanding & social norms through story felling, Chants and rituals and
communities. It is necessary to preserve this great cultural heritage for future generations so that
they can understand and respect it. AI has become an important tool in preserving these
traditions, and it is a medium to bring local culture to a global audience.AI-based preservation of
cultural heritage with a Literary study of human relationships as portrayed in select novels of
Khaled Hosseini. Hosseini’s fiction is portrayed as a literary record that preserves the Afghan
experience formed by love, guilt, sacrifice, trauma and resilience. By studying how human
relationships operate as a transformation of oral tradition & cultural identity in Hosseini’s
Novels.AI has emerged as a powerful tool for safeguarding cultural Heritage & oral traditions.
This paper explores the role of AI in documenting & preserving, restoring & promoting cultural &
oral traditions. literature together after a human-centred approach to safeguarding cultural &
oral traditions, while also addressing its benefits, limitations and future potential not only data
but also emotional truth & relationship depth.
Downloads
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.